Deep learning is having a serious moment right now in the world of AI. And for good reason. Loosely based on the brain’s computing architecture, artificial neural networks have vastly outperformed their predecessors in a variety of tasks that had previously stumped our silicon-minded comrades. But as these algorithms continuously forge new grounds in machine intelligence, we’re coming to an uncomfortable realization: transistor-based computers have hard limits, and those limits are approaching rapidly. Now, thanks… read more

Deep learning is having a serious moment right now in the world of AI. And for good reason. Loosely based on the brain’s computing architecture, artificial neural networks have vastly outperformed their predecessors in a variety of tasks that had previously stumped our silicon-minded comrades. But as these algorithms continuously forge new grounds in machine […]